Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/175450 |
Resumo: | A country that has the continental dimensions such as Brazil needs to have a solid cartographic base to take important decisions about urban planning and consequenting to all national territory. To realize conventional surveys with the intention of minimize the outdated, the price would be a lot expensive. Thinking in unexpensive methods and fast, with the intention of minimize this outdated, the Remote Sensing Images are contributing to minimize this problem. Amongst many tools of Digital Processing Images - DPI, were used in this paper the partial differential equations (PDEs) were used in the smoothing phase of the images, since the model proposed by Barcelos and Chen softens an image without compromising the contours of the features contained in the scene. Afterwards, the morphological operators were used with the purpose of eliminating undesirable features and extracting the features of interest. Mathematical Morphology has as objective to improve visually the usually the original image quality and to extract the relevant information. Considering that Morphological operators use grays level as the major recognition pattern, the proposal of this research is to apply previously in the segmentation process. Mathematical Morphology tools are connected in the Matlab software. The extracted features can be used in conventional processes of updating cartographic products. The obtained results are positives and showed the use potential of mathematical morphology theory in Cartography. |
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Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitaisApplication of mathematical morphology and differential equations in the extraction of road mesh in digital imagesCartographic featuresCartography.Mathematical morphologyMatlabUpdatingA country that has the continental dimensions such as Brazil needs to have a solid cartographic base to take important decisions about urban planning and consequenting to all national territory. To realize conventional surveys with the intention of minimize the outdated, the price would be a lot expensive. Thinking in unexpensive methods and fast, with the intention of minimize this outdated, the Remote Sensing Images are contributing to minimize this problem. Amongst many tools of Digital Processing Images - DPI, were used in this paper the partial differential equations (PDEs) were used in the smoothing phase of the images, since the model proposed by Barcelos and Chen softens an image without compromising the contours of the features contained in the scene. Afterwards, the morphological operators were used with the purpose of eliminating undesirable features and extracting the features of interest. Mathematical Morphology has as objective to improve visually the usually the original image quality and to extract the relevant information. Considering that Morphological operators use grays level as the major recognition pattern, the proposal of this research is to apply previously in the segmentation process. Mathematical Morphology tools are connected in the Matlab software. The extracted features can be used in conventional processes of updating cartographic products. The obtained results are positives and showed the use potential of mathematical morphology theory in Cartography.Departamento de Cartografia UNESP - Universidade Estadual Paulista Faculdade de Ciências e TecnologiaDepartamento de Cartografia UNESP - Universidade Estadual Paulista Faculdade de Ciências e TecnologiaUniversidade Estadual Paulista (Unesp)Silva, Erivaldo A. [UNESP]Leonardi, Fabrício [UNESP]Cardim, Guilherme P. [UNESP]Leonardi, Viviane S.S. [UNESP]2018-12-11T17:15:53Z2018-12-11T17:15:53Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject226-231CISCI 2017 - Decima Sexta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Decimo Cuarto Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2017 - Memorias, p. 226-231.http://hdl.handle.net/11449/1754502-s2.0-85033230581Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporCISCI 2017 - Decima Sexta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Decimo Cuarto Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2017 - Memoriasinfo:eu-repo/semantics/openAccess2021-10-23T21:46:59Zoai:repositorio.unesp.br:11449/175450Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:46:59Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais Application of mathematical morphology and differential equations in the extraction of road mesh in digital images |
title |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais |
spellingShingle |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais Silva, Erivaldo A. [UNESP] Cartographic features Cartography. Mathematical morphology Matlab Updating |
title_short |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais |
title_full |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais |
title_fullStr |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais |
title_full_unstemmed |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais |
title_sort |
Aplicação de morfologia matemática e equações diferenciais na extração de malha viária em imagens digitais |
author |
Silva, Erivaldo A. [UNESP] |
author_facet |
Silva, Erivaldo A. [UNESP] Leonardi, Fabrício [UNESP] Cardim, Guilherme P. [UNESP] Leonardi, Viviane S.S. [UNESP] |
author_role |
author |
author2 |
Leonardi, Fabrício [UNESP] Cardim, Guilherme P. [UNESP] Leonardi, Viviane S.S. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Silva, Erivaldo A. [UNESP] Leonardi, Fabrício [UNESP] Cardim, Guilherme P. [UNESP] Leonardi, Viviane S.S. [UNESP] |
dc.subject.por.fl_str_mv |
Cartographic features Cartography. Mathematical morphology Matlab Updating |
topic |
Cartographic features Cartography. Mathematical morphology Matlab Updating |
description |
A country that has the continental dimensions such as Brazil needs to have a solid cartographic base to take important decisions about urban planning and consequenting to all national territory. To realize conventional surveys with the intention of minimize the outdated, the price would be a lot expensive. Thinking in unexpensive methods and fast, with the intention of minimize this outdated, the Remote Sensing Images are contributing to minimize this problem. Amongst many tools of Digital Processing Images - DPI, were used in this paper the partial differential equations (PDEs) were used in the smoothing phase of the images, since the model proposed by Barcelos and Chen softens an image without compromising the contours of the features contained in the scene. Afterwards, the morphological operators were used with the purpose of eliminating undesirable features and extracting the features of interest. Mathematical Morphology has as objective to improve visually the usually the original image quality and to extract the relevant information. Considering that Morphological operators use grays level as the major recognition pattern, the proposal of this research is to apply previously in the segmentation process. Mathematical Morphology tools are connected in the Matlab software. The extracted features can be used in conventional processes of updating cartographic products. The obtained results are positives and showed the use potential of mathematical morphology theory in Cartography. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-12-11T17:15:53Z 2018-12-11T17:15:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
CISCI 2017 - Decima Sexta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Decimo Cuarto Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2017 - Memorias, p. 226-231. http://hdl.handle.net/11449/175450 2-s2.0-85033230581 |
identifier_str_mv |
CISCI 2017 - Decima Sexta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Decimo Cuarto Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2017 - Memorias, p. 226-231. 2-s2.0-85033230581 |
url |
http://hdl.handle.net/11449/175450 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
CISCI 2017 - Decima Sexta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Decimo Cuarto Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2017 - Memorias |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
226-231 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797790328051204096 |